MAiVAR-T: Multimodal Audio-image and Video Action Recognizer using Transformers

• URL: http://arxiv.org/abs/2308.03741v1
• Date: Tue, 1 Aug 2023 11:00:25 GMT
• Title: MAiVAR-T: Multimodal Audio-image and Video Action Recognizer using Transformers
• Authors: Muhammad Bilal Shaikh, Douglas Chai, Syed Mohammed Shamsul Islam and Naveed Akhtar
• Abstract summary: We propose a novel model for the combination of audio-image and video modalities. This model employs an intuitive approach for the combination of audio-image and video modalities. Our empirical evaluations conducted on a benchmark action recognition dataset corroborate the model's remarkable performance.
• Score: 18.72489078928417
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In line with the human capacity to perceive the world by simultaneously processing and integrating high-dimensional inputs from multiple modalities like vision and audio, we propose a novel model, MAiVAR-T (Multimodal Audio-Image to Video Action Recognition Transformer). This model employs an intuitive approach for the combination of audio-image and video modalities, with a primary aim to escalate the effectiveness of multimodal human action recognition (MHAR). At the core of MAiVAR-T lies the significance of distilling substantial representations from the audio modality and transmuting these into the image domain. Subsequently, this audio-image depiction is fused with the video modality to formulate a unified representation. This concerted approach strives to exploit the contextual richness inherent in both audio and video modalities, thereby promoting action recognition. In contrast to existing state-of-the-art strategies that focus solely on audio or video modalities, MAiVAR-T demonstrates superior performance. Our extensive empirical evaluations conducted on a benchmark action recognition dataset corroborate the model's remarkable performance. This underscores the potential enhancements derived from integrating audio and video modalities for action recognition purposes.

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